Visualizing Health Care Statistics: A Data-Mining Approach

Name: Visualizing Health Care Statistics: A Data-Mining Approach
Brand: Jones and Bartlett Publishers, Inc
SKU: 9781284197525
Price: 397.38 PLN
Availability: InStock

Autor: J. Burton Browning

Język:

Oprawa: Twarda

Wydawca: Jones and Bartlett Publishers, Inc

Dostępność: 50 % szansa

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397.38 zł

Visualizing Health Care Statistics: A Data-Mining Approach is an engaging, introduction to health ca...

Informacje o książce

Autor

J. Burton Browning

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2020

strony

450

EAN

9781284197525

ISBN

1284197522

Enbook ID

25067788

Wydawca

Jones and Bartlett Publishers, Inc

Waga

680

Wymiary

213 x 272 x 18

Pełny opis

Visualizing Health Care Statistics: A Data-Mining Approach is an engaging, introduction to health care statistics that demonstrates how to visualize health care statistics by using Microsoft Excel and R-Project (open source statistical software) along with hands-on examples using real-world data. In each chapter, readers are encouraged to apply statistical knowledge to real-world health care situations. Through this approach, the reader develops data gathering and analysis skills, while learning how to report and present the data in an impactful way. Key Features:• A breadth of real-world, current health data, including global examples to put health care into a worldwide context. • An introduction to the modern computer software that readers will use in their careers to apply statistics, including Excel and open-source R-Project. • A data-mining approach helps readers understand how big data can be used systematically to increase health care quality and safety while cutting costs. • Data visualization in each chapter to highlight the importance of reporting data to end-users in a meaningful way. • Alignment with new CAHIIM standards, and notes those standards throughout the text. • An ideal resource for preparing for the Registered Health Information Technician (RHIT) exam. • Helpful appendices including common abbreviations used in statistics, formulas for health care statistics, resources for further information, CAHIIM competency exercises, and more.

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